Pre- and Post-Fault Tolerant Operation of a Six-Phase PMSM Motor Using FCS-MPC Without Controller Reconfiguration

Luo, Yixiao; Liu, Chunhua

doi:10.1109/tvt.2018.2883665

Cited by 63 publications

(20 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since then, many improvements for the PCC methods have been proposed for the same system, mostly to solve some issues related to FS-MPC such as high computational burden [8], mathematical model improvement [9], fixed-switching frequency [10], among others. Other contributions more related to multiphase machines were performed for x − y current reduction [11], [12], predictive torque control [13] and post-fault operation [14]. In all the before-mentioned FS-MPC approaches, the cost function (CF) is used to determine the desired behaviour of the systems.…”

Section: Introductionmentioning

confidence: 99%

Pareto Optimal Weighting Factor Design of Predictive Current Controller of a Six-Phase Induction Machine Based on Particle Swarm Optimization Algorithm

Fretes

Rodas

Doval-Gandoy

et al. 2022

IEEE J. Emerg. Sel. Topics Power Electron.

View full text Add to dashboard Cite

General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Users may download and print one copy of any publication from the public portal for the purpose of private study or research.  You may not further distribute the material or use it for any profit-making activity or commercial gain  You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

show abstract

Section: Introductionmentioning

confidence: 99%

Pareto Optimal Weighting Factor Design of Predictive Current Controller of a Six-Phase Induction Machine Based on Particle Swarm Optimization Algorithm

Fretes

Rodas

Doval-Gandoy

et al. 2022

IEEE J. Emerg. Sel. Topics Power Electron.

View full text Add to dashboard Cite

show abstract

“…The predictive model and cost function associated with the current components in the x-y subspace are constructed for complete control of the faulty drive. In [22]- [23], the MPCC approach is utilized to enhance the fault-tolerant performance of six-phase permanent magnet synchronous motor (PMSM) drives under OCF conditions. Compared to fault-tolerant MPCC, research on MPTC is relatively rare.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis and comparison of two fault-tolerant model predictive control methods for five-phase PMSM drives

Huang

Wang

Fan

2021

Trans. Electr. Mach. Syst.

View full text Add to dashboard Cite

Model predictive current control (MPCC) and model predictive torque control (MPTC) are two derivatives of model predictive control. These two control methods have demonstrated their strengths in the fault-tolerant control of multiphase motor drives. To explore the inherent link, the pros and cons of two strategies, the performance analysis and comparative investigation of MPCC and MPTC are conducted through a fivephase permanent magnet synchronous motor with open-phase fault. In MPCC, the currents of fundamental and harmonic subspaces are simultaneously employed and constrained for a combined regulation of the open-circuit fault drive. In MPTC, apart from the torque and the stator flux related to fundamental subspace, the x-y currents are also considered and predicted to achieve the control of harmonic subspace. The principles of two methods are demonstrated in detail and the link is explored in terms of the cost function. Besides, the performance by two methods is experimentally assessed in terms of steady-state, transition, and dynamic tests. Finally, the advantages and disadvantages of each method are concluded.

show abstract

“…Recently, it has been used as a fault tolerant technique to provide a remedial control action under fault conditions [27]. In [28] and [29], MPC based on finite control set strategy has been used as a pre and post fault controller for open circuit fault of multi-phase PMSMs.…”

Section: Introductionmentioning

confidence: 99%

Fault Tolerant Control Strategy Based on Model Predictive Control and Unscented Kalman Filter for Permanent Magnet Synchronous Motor

Aboelhassan

Sayed

Hebala

et al. 2021

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)

View full text Add to dashboard Cite

Permanent Magnet Synchronous Motors (PMSMs) are now extensively used in many critical applications. There is an increasing need for the motor and control system to have fault tolerant capabilities. This paper presents a fault tolerant control strategy to operate the PMSM during inter-turn fault conditions. The proposed technique combines the Model Predictive Control (MPC) for the speed and current control loops, and an almost error-free Unscented Kalman Filter (UKF) to estimate the PMSM inter-turn fault ratio. The PMSM statespace model for healthy and faulty conditions will be presented. Also, the equations and the remedial action of the MPC and UKF are provided in detail. The proposed algorithm is applied to PMSM model as a case study with a range of simulation analysis and discussion of results.

show abstract

Pre- and Post-Fault Tolerant Operation of a Six-Phase PMSM Motor Using FCS-MPC Without Controller Reconfiguration

Cited by 63 publications

References 26 publications

Pareto Optimal Weighting Factor Design of Predictive Current Controller of a Six-Phase Induction Machine Based on Particle Swarm Optimization Algorithm

Pareto Optimal Weighting Factor Design of Predictive Current Controller of a Six-Phase Induction Machine Based on Particle Swarm Optimization Algorithm

Performance analysis and comparison of two fault-tolerant model predictive control methods for five-phase PMSM drives

Fault Tolerant Control Strategy Based on Model Predictive Control and Unscented Kalman Filter for Permanent Magnet Synchronous Motor

Contact Info

Product

Resources

About